



'''simple docstring'''



import warnings

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase_  :							Dict             =    logging.get_logger(__name__)

lowerCAmelCase_  :							Optional[int]             =    {
    'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json',
}
class 						lowerCamelCase_				(       snake_case_      ):
						_lowerCAmelCase  : Optional[Any]						  =					'mvp'
						_lowerCAmelCase  : Optional[int]						  =					['past_key_values']
						_lowerCAmelCase  : Dict						  =					{'num_attention_heads': 'encoder_attention_heads', 'hidden_size': 'd_model'}







						def __init__(	self :   Optional[int]					,     lowerCAmelCase__ :   str=5_02_67					,     lowerCAmelCase__ :   Union[str, Any]=10_24					,     lowerCAmelCase__ :   int=12					,     lowerCAmelCase__ :   Optional[Any]=40_96					,     lowerCAmelCase__ :   Dict=16					,     lowerCAmelCase__ :   Optional[Any]=12					,     lowerCAmelCase__ :   List[Any]=40_96					,     lowerCAmelCase__ :   Dict=16					,     lowerCAmelCase__ :   Any=0.0					,     lowerCAmelCase__ :   List[Any]=0.0					,     lowerCAmelCase__ :   int="gelu"					,     lowerCAmelCase__ :   Union[str, Any]=10_24					,     lowerCAmelCase__ :   Optional[int]=0.1					,     lowerCAmelCase__ :   Any=0.0					,     lowerCAmelCase__ :   Tuple=0.0					,     lowerCAmelCase__ :   List[str]=0.02					,     lowerCAmelCase__ :   List[str]=0.0					,     lowerCAmelCase__ :   Any=False					,     lowerCAmelCase__ :   Dict=True					,     lowerCAmelCase__ :   Any=1					,     lowerCAmelCase__ :   Optional[int]=0					,     lowerCAmelCase__ :   Union[str, Any]=2					,     lowerCAmelCase__ :   str=True					,     lowerCAmelCase__ :   Optional[int]=2					,     lowerCAmelCase__ :   Tuple=2					,     lowerCAmelCase__ :   Union[str, Any]=False					,     lowerCAmelCase__ :   Dict=1_00					,     lowerCAmelCase__ :   List[str]=8_00					,     **lowerCAmelCase__ :   Dict					,     ):

													"""simple docstring"""
													SCREAMING_SNAKE_CASE       :   List[str]         =      vocab_size
													SCREAMING_SNAKE_CASE       :   Any         =      max_position_embeddings
													SCREAMING_SNAKE_CASE       :   Optional[int]         =      d_model
													SCREAMING_SNAKE_CASE       :   Optional[int]         =      encoder_ffn_dim
													SCREAMING_SNAKE_CASE       :   Optional[int]         =      encoder_layers
													SCREAMING_SNAKE_CASE       :   Optional[Any]         =      encoder_attention_heads
													SCREAMING_SNAKE_CASE       :   str         =      decoder_ffn_dim
													SCREAMING_SNAKE_CASE       :   Optional[Any]         =      decoder_layers
													SCREAMING_SNAKE_CASE       :   Optional[Any]         =      decoder_attention_heads
													SCREAMING_SNAKE_CASE       :   Dict         =      dropout
													SCREAMING_SNAKE_CASE       :   Tuple         =      attention_dropout
													SCREAMING_SNAKE_CASE       :   Any         =      activation_dropout
													SCREAMING_SNAKE_CASE       :   Tuple         =      activation_function
													SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      init_std
													SCREAMING_SNAKE_CASE       :   Tuple         =      encoder_layerdrop
													SCREAMING_SNAKE_CASE       :   Optional[int]         =      decoder_layerdrop
													SCREAMING_SNAKE_CASE       :   Optional[int]         =      classifier_dropout
													SCREAMING_SNAKE_CASE       :   List[Any]         =      use_cache
													SCREAMING_SNAKE_CASE       :   Optional[int]         =      encoder_layers
													SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      scale_embedding  # scale factor will be sqrt(d_model) if True
													SCREAMING_SNAKE_CASE       :   Optional[Any]         =      use_prompt
													SCREAMING_SNAKE_CASE       :   Optional[int]         =      prompt_length
													SCREAMING_SNAKE_CASE       :   Optional[int]         =      prompt_mid_dim

													super().__init__(
													    pad_token_id=lowerCAmelCase__					,     bos_token_id=lowerCAmelCase__					,     eos_token_id=lowerCAmelCase__					,     is_encoder_decoder=lowerCAmelCase__					,     decoder_start_token_id=lowerCAmelCase__					,     forced_eos_token_id=lowerCAmelCase__					,     **lowerCAmelCase__					,     )

													if self.forced_bos_token_id is None and kwargs.get('''force_bos_token_to_be_generated'''					,     lowerCAmelCase__					):
																				SCREAMING_SNAKE_CASE       :   List[Any]         =      self.bos_token_id
																				warnings.warn(
																				    F"""Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. """
																				    '''The config can simply be saved and uploaded again to be fixed.'''					)









'''simple docstring'''



import json
import os
from pathlib import Path

import pytest

from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadManager
from datasets.utils.file_utils import hash_url_to_filename


lowerCAmelCase_  :							Any             =    'http://www.mocksite.com/file1.txt'
lowerCAmelCase_  :							List[str]             =    '"text": ["foo", "foo"]'
lowerCAmelCase_  :							Any             =    '6d8ce9aa78a471c7477201efbeabd3bb01ac2e7d100a6dc024ba1608361f90a8'
class 						lowerCamelCase_				:
						_lowerCAmelCase  : Dict						  =					2_0_0
						_lowerCAmelCase  : int						  =					{'Content-Length': '100'}
						_lowerCAmelCase  : Optional[Any]						  =					{}







						def        __lowercase     (	self :   str					,     **lowerCAmelCase__ :   Any					):

													"""simple docstring"""
													return [bytes(lowerCAmelCase__					,     '''utf-8'''					)]


def        UpperCAmelCase (    *A	:					int       ,		**A	:					Optional[Any]					):
							return MockResponse()
@pytest.mark.parametrize('''urls_type'''       ,		[str, list, dict]					)
def        UpperCAmelCase (    A	:					int       ,		A	:					Union[str, Any]       ,		A	:					Union[str, Any]					):
							import requests

							monkeypatch.setattr(A       ,		'''request'''       ,		A					)

							SCREAMING_SNAKE_CASE       :   Optional[Any]         =      URL
							if issubclass(A       ,		A					):
														SCREAMING_SNAKE_CASE       :   List[Any]         =      url
							elif issubclass(A       ,		A					):
														SCREAMING_SNAKE_CASE       :   List[Any]         =      [url]
							elif issubclass(A       ,		A					):
														SCREAMING_SNAKE_CASE       :   str         =      {'''train''': url}
							SCREAMING_SNAKE_CASE       :   Any         =      '''dummy'''
							SCREAMING_SNAKE_CASE       :   Optional[Any]         =      '''downloads'''
							SCREAMING_SNAKE_CASE       :   Optional[Any]         =      tmp_path
							SCREAMING_SNAKE_CASE       :   List[str]         =      DownloadConfig(
							    cache_dir=os.path.join(A       ,		A					)       ,		use_etag=A       ,		)
							SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      DownloadManager(dataset_name=A       ,		download_config=A					)
							SCREAMING_SNAKE_CASE       :   List[str]         =      dl_manager.download(A					)
							SCREAMING_SNAKE_CASE       :   Dict         =      urls
							for downloaded_paths in [downloaded_paths]:
														if isinstance(A       ,		A					):
																					SCREAMING_SNAKE_CASE       :   List[str]         =      [downloaded_paths]
																					SCREAMING_SNAKE_CASE       :   int         =      [urls]
														elif isinstance(A       ,		A					):
																					assert "train" in downloaded_paths.keys()
																					SCREAMING_SNAKE_CASE       :   Optional[int]         =      downloaded_paths.values()
																					SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      urls.values()
														assert downloaded_paths
														for downloaded_path, input_url in zip(A       ,		A					):
																					assert downloaded_path == dl_manager.downloaded_paths[input_url]
																					SCREAMING_SNAKE_CASE       :   Dict         =      Path(A					)
																					SCREAMING_SNAKE_CASE       :   Optional[Any]         =      downloaded_path.parts
																					assert parts[-1] == HASH
																					assert parts[-2] == cache_subdir
																					assert downloaded_path.exists()
																					SCREAMING_SNAKE_CASE       :   str         =      downloaded_path.read_text()
																					assert content == CONTENT
																					SCREAMING_SNAKE_CASE       :   str         =      downloaded_path.with_suffix('''.json'''					)
																					assert metadata_downloaded_path.exists()
																					SCREAMING_SNAKE_CASE       :   Optional[int]         =      json.loads(metadata_downloaded_path.read_text()					)
																					assert metadata_content == {"url": URL, "etag": None}
@pytest.mark.parametrize('''paths_type'''       ,		[str, list, dict]					)
def        UpperCAmelCase (    A	:					Tuple       ,		A	:					Union[str, Any]       ,		A	:					Dict					):
							SCREAMING_SNAKE_CASE       :   List[str]         =      str(A					)
							if issubclass(A       ,		A					):
														SCREAMING_SNAKE_CASE       :   Optional[int]         =      filename
							elif issubclass(A       ,		A					):
														SCREAMING_SNAKE_CASE       :   Optional[int]         =      [filename]
							elif issubclass(A       ,		A					):
														SCREAMING_SNAKE_CASE       :   List[Any]         =      {'''train''': filename}
							SCREAMING_SNAKE_CASE       :   Dict         =      '''dummy'''
							SCREAMING_SNAKE_CASE       :   Optional[Any]         =      xz_file.parent
							SCREAMING_SNAKE_CASE       :   List[Any]         =      '''extracted'''
							SCREAMING_SNAKE_CASE       :   Optional[Any]         =      DownloadConfig(
							    cache_dir=A       ,		use_etag=A       ,		)
							SCREAMING_SNAKE_CASE       :   Optional[int]         =      DownloadManager(dataset_name=A       ,		download_config=A					)
							SCREAMING_SNAKE_CASE       :   Optional[int]         =      dl_manager.extract(A					)
							SCREAMING_SNAKE_CASE       :   Tuple         =      paths
							for extracted_paths in [extracted_paths]:
														if isinstance(A       ,		A					):
																					SCREAMING_SNAKE_CASE       :   List[Any]         =      [extracted_paths]
																					SCREAMING_SNAKE_CASE       :   str         =      [paths]
														elif isinstance(A       ,		A					):
																					assert "train" in extracted_paths.keys()
																					SCREAMING_SNAKE_CASE       :   Optional[int]         =      extracted_paths.values()
																					SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      paths.values()
														assert extracted_paths
														for extracted_path, input_path in zip(A       ,		A					):
																					assert extracted_path == dl_manager.extracted_paths[input_path]
																					SCREAMING_SNAKE_CASE       :   Any         =      Path(A					)
																					SCREAMING_SNAKE_CASE       :   Optional[Any]         =      extracted_path.parts
																					assert parts[-1] == hash_url_to_filename(A       ,		etag=A					)
																					assert parts[-2] == extracted_subdir
																					assert extracted_path.exists()
																					SCREAMING_SNAKE_CASE       :   int         =      extracted_path.read_text()
																					SCREAMING_SNAKE_CASE       :   Optional[int]         =      text_file.read_text()
																					assert extracted_file_content == expected_file_content
def        UpperCAmelCase (    A	:					Optional[int]       ,		A	:					int					):
							assert path.endswith('''.jsonl'''					)
							for num_items, line in enumerate(A       ,		start=1					):
														SCREAMING_SNAKE_CASE       :   List[Any]         =      json.loads(line.decode('''utf-8'''					)					)
														assert item.keys() == {"col_1", "col_2", "col_3"}
							assert num_items == 4
@pytest.mark.parametrize('''archive_jsonl'''       ,		['''tar_jsonl_path''', '''zip_jsonl_path''']					)
def        UpperCAmelCase (    A	:					Any       ,		A	:					str					):
							SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      request.getfixturevalue(A					)
							SCREAMING_SNAKE_CASE       :   List[Any]         =      DownloadManager()
							for num_jsonl, (path, file) in enumerate(dl_manager.iter_archive(A					)       ,		start=1					):
														_test_jsonl(A       ,		A					)
							assert num_jsonl == 2
@pytest.mark.parametrize('''archive_nested_jsonl'''       ,		['''tar_nested_jsonl_path''', '''zip_nested_jsonl_path''']					)
def        UpperCAmelCase (    A	:					Dict       ,		A	:					Optional[Any]					):
							SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      request.getfixturevalue(A					)
							SCREAMING_SNAKE_CASE       :   Optional[int]         =      DownloadManager()
							for num_tar, (path, file) in enumerate(dl_manager.iter_archive(A					)       ,		start=1					):
														for num_jsonl, (subpath, subfile) in enumerate(dl_manager.iter_archive(A					)       ,		start=1					):
																					_test_jsonl(A       ,		A					)
							assert num_tar == 1
							assert num_jsonl == 2






def        UpperCAmelCase (    A	:					List[Any]					):
							SCREAMING_SNAKE_CASE       :   Optional[Any]         =      DownloadManager()
							for num_file, file in enumerate(dl_manager.iter_files(A					)       ,		start=1					):
														assert os.path.basename(A					) == ("test.txt" if num_file == 1 else "train.txt")
							assert num_file == 2




